Hiring || Azure Platform Engineer (AI Foundry) Chennai
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Summary:
Responsibilities:
- Automate the provisioning and lifecycle management of Azure resources using Terraform or Bicep
- Design and maintain reusable infrastructure modules templates and standardized deployment patterns
- Provision configure and manage Azure AI Foundry hubs projects and associated AI resources
- Administer Azure AI Foundry / AI Studio environments including model deployment versioning and compute instance management for fine-tuning
- Implement and enforce Content Safety policies and governance controls across AI workloads
- Enforce granular RBAC for AI resources managing Managed Identities service principals and Azure AD access
- Operate and maintain production-grade AKS clusters ensuring scalability reliability and security for AI and microservices workloads
- Perform cluster upgrades performance tuning monitoring and incident response
- Secure AI infrastructure using Private Link Managed VNets and network isolation strategies
- Ensure all LLM traffic remains within private network boundaries through secure connectivity patterns
- Build and manage CI/CD pipelines for infrastructure and model deployments (LLMOps) using Azure DevOps or GitHub Actions
- Implement comprehensive monitoring logging and observability using Azure Monitor
Requirements
- 5 years of hands-on experience with Microsoft Azure cloud services
- Proven expertise in Azure AI Foundry / AI Studio and Azure OpenAI Service
- Advanced proficiency in AKS containerization and microservices architecture
- Expert-level skills in Terraform and Azure DevOps pipelines for IaC and automation
- Strong command of Azure RBAC Managed Identities and VNet isolation best practices
- Experience implementing secure CI/CD workflows and observability solutions
- Familiarity with security and compliance standards in AI/ML environments
- Ability to collaborate effectively with data scientists developers and platform teams
Required Skills:
Summary: We are seeking a seasoned Azure Platform Engineer to play a pivotal role in designing securing and operating scalable AI infrastructure on Microsoft Azure. This position is central to enabling high-performance compliant and production-grade environments for AI workloads particularly within the Azure AI Foundry and AI Studio ecosystems. The ideal candidate will combine deep expertise in cloud infrastructure Kubernetes (AKS) Infrastructure as Code (IaC) and AI platform operations to drive operational excellence automation and governance. You will be instrumental in building resilient secure and efficient platforms that empower data scientists and developers to innovate with confidence ensuring seamless integration of AI capabilities across the organization. Responsibilities: Automate the provisioning and lifecycle management of Azure resources using Terraform or Bicep Design and maintain reusable infrastructure modules templates and standardized deployment patterns Provision configure and manage Azure AI Foundry hubs projects and associated AI resources Administer Azure AI Foundry / AI Studio environments including model deployment versioning and compute instance management for fine-tuning Implement and enforce Content Safety policies and governance controls across AI workloads Enforce granular RBAC for AI resources managing Managed Identities service principals and Azure AD access Operate and maintain production-grade AKS clusters ensuring scalability reliability and security for AI and microservices workloads Perform cluster upgrades performance tuning monitoring and incident response Secure AI infrastructure using Private Link Managed VNets and network isolation strategies Ensure all LLM traffic remains within private network boundaries through secure connectivity patterns Build and manage CI/CD pipelines for infrastructure and model deployments (LLMOps) using Azure DevOps or GitHub Actions Implement comprehensive monitoring logging and observability using Azure Monitor Requirements 5 years of hands-on experience with Microsoft Azure cloud services Proven expertise in Azure AI Foundry / AI Studio and Azure OpenAI Service Advanced proficiency in AKS containerization and microservices architecture Expert-level skills in Terraform and Azure DevOps pipelines for IaC and automation Strong command of Azure RBAC Managed Identities and VNet isolation best practices Experience implementing secure CI/CD workflows and observability solutions Familiarity with security and compliance standards in AI/ML environments Ability to collaborate effectively with data scientists developers and platform teams
Required Education:
Full Time Graduate
